This paper proposes a novel cross-layer packet prioritization scheme that overcomes the limitations of conventional video prioritization schemes for IPTV system. In the conventional schemes, the Extend profile or frame unit is used for prioritization and these incur limited uses of the video prioritization schemes or unreliable transmission of the P-frame and B-frame headers. In order to overcome these limitations, the proposed scheme uses the MPEG-2 system information and the H.264/AVC NAL header information to prioritize the important video packets including the P-frame and B-frame headers. The experimental results using a testbed demonstrated that the proposed scheme has a significant performance enhancement over the conventional video prioritization schemes in terms of packet utilization ratio for video streaming, direct frame loss ratio, and PSNR.
Wi-Fi technology connects sensor-based things that operate with small batteries, and allows them to access the Internet from anywhere at any time and perform networking. It has become a critical element in many areas of daily life and industry, including smart homes, smart factories, smart grids, and smart cities. The Wi-Fi-based Internet of things is gradually expanding its range of uses from new industries to areas that are intimately connected to people’s lives, safety, and property. Wi-Fi technology has undergone a 20-year standardization process and continues to evolve to improve transmission speeds and service quality. Simultaneously, it has also been strengthening power-saving technology and security technology to improve energy efficiency and security while maintaining backward compatibility with past standards. This study analyzed the security vulnerabilities of the Wi-Fi power-saving mechanism used in smart devices and experimentally proved the feasibility of a battery draining attack (BDA) on commercial smartphones. The results of the experiment showed that when a battery draining attack was performed on power-saving Wi-Fi, 14 times the amount of energy was consumed compared with when a battery draining attack was not performed. This study analyzed the security vulnerabilities of the power-saving mechanism and discusses countermeasures.
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